(65k) Analytics to Reveal Meaurable Factors to Process Safety Performance

Analytics on a Large
Industry Data Set Reveal the Leadership and Organizational Factors that Drive Down Risk and Reduce Incidents

With
access to a multi-year data set of over a million incidents from 1000's of operating
facilities worldwide in the Energy and Chemicals industry, the research team mined
the data set to explore the differences in risk management practices and
behaviors which most effectively explain the variation in process safety
outcome performance. By modeling and examining predictive relationships, the
study identifies four attributes - worker engagement, process discipline, risk
sensitivity, and learning-mindedness – as critical for reducing incidents. 

Findings from this study support a progressive and
integrated approach and suggest that companies that are proficient in driving process
safety performance are companies that, to a greater degree, have successfully
engaged their workforce, strengthened their operating discipline, sharpened
their risk sensitivity, and become learning-minded. A learning-minded
organization manages each incident and responds to each failure deliberately to
identify and fully leverage improvement and learning opportunities.

While this study provides statistical evidence to support
the strong correlation between leadership, organizational behavior attributes and
safety performance, it also emphasizes the organizational factors that are
necessary to enable and sustain effective risk mitigation efforts.  By
deriving these insights from a data set of routine field-level activities,
operational measurements may be created to measure progress and drive focus on
engagement, discipline, risks, and learning.

This paper will conclude by sharing examples of how
companies have applied these findings to establish quarterly and monthly
measurements to drive leadership and organizational focus in these critical
areas and ultimately to improve outcome performance.